Eslov vs Qviding FIF: result 0-7 and analysis
Division 2 - Västra GötalandRegular Season - 11Kick-off on June 8, 2019 at 02:00 PM (UTC)Ekevalla IP Eslöv A-plan, Eslöv
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What was the result of Eslov vs Qviding FIF?
Qviding FIF won 0-7 on June 8, 2019.
What is the recent form of both teams?
Over their last 10 matches in all competitions, Eslov have 3 wins, 2 draws and 5 defeats; Qviding FIF have 7, 1 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 4, 2019 | Halmia(away) | 0-1 | Division 2 - Västra Götaland |
| May 29, 2019 | Olympic(home) | 1-3 | Division 2 - Västra Götaland |
| May 25, 2019 | Stafsinge(home) | 2-3 | Division 2 - Västra Götaland |
| May 18, 2019 | Hittarp(away) | 2-0 | Division 2 - Västra Götaland |
| May 11, 2019 | Ullared(home) | 1-1 | Division 2 - Västra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 5, 2019 | Velebit(away) | 2-0 | Svenska Cupen |
| Jun 2, 2019 | Stafsinge(home) | 4-3 | Division 2 - Västra Götaland |
| May 29, 2019 | Hittarp(away) | 4-4 | Division 2 - Västra Götaland |
| May 24, 2019 | Ullared(home) | 5-1 | Division 2 - Västra Götaland |
| May 18, 2019 | Rosengård(away) | 2-3 | Division 2 - Västra Götaland |
How many goals should we expect?
Eslov score 1.2 and concede 2.4 goals per match over their last 10; Qviding FIF score 2.4 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Eslov | 1.2 | 2.4 | 2 | 6/10 | 5/10 |
| Qviding FIF | 2.4 | 2.3 | 3 | 10/15 | 12/15 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Qviding FIF | 25 | 11 | 4 | 10 | 46 | 45 | 37 |
A question about Eslov vs Qviding FIF?
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How does Footlab AI compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy